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Quill Data Science Intern (Hybrid) - June 2026

Lincolnshire, Illinois, États-Unis

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Remote/On-site On-site Numéro de l’emploi 52962 Type d’emploi Internship & Co-ops Date d’affichage 09/26/2025

Staples is business to business. You’re what binds us together.

Quill is a valuable part of the Staples family of brands. Since 1956, Quill has held its position as a leader in office supplies.  

Acquired by Staples in 1998, Quill delivers the essential services, solutions, and award-winning customer support to help our customers – and our people – thrive. When you partner with Quill, as a customer or as an associate, every workday is more rewarding.  

We’re searching for you: fresh talent with new ideas, innovation, passion, and drive to bring to Staples. We have student and graduate opportunities where you’ll help the Staples, Inc. organization be more successful and productive while building a purposeful career. Whether you are looking for a summer internship, co-op, or an entry-level role, we’ll help you develop the technical and soft skills you need to thrive in the future.

This internship position is a part of a hybrid work model, 4 days in the office and 1 day remote, based out of the Quill Corporate facility in Lincolnshire, IL.  

Target Start Date: June 1, 2026 - August 14, 2026 (11-week program)

Intern Pay Rate: $29 per hour

What you bring to the table:  

  • Collaborative – able to build partnerships and work collaboratively with others to meet shared objectives  
  • Customer Focused – able to identify and understand internal or external customer needs and interests and deliver customer-centric solutions  
  • Inclusive – dedicated to fostering an inclusive environment consisting of diverse individuals from varying backgrounds and cultures  
  • Innovative – develop new insights; question conventional approaches; encourage new ideas; design and implement new solutions  
  • Self-Developer – actively seek new ways to grow and be challenged using both formal and informal development channels  

What you’ll be doing:  

  • Apply statistical analysis and machine learning techniques to extract insights from data
  • Collaborate with team members and stakeholders to understand business needs and develop data-driven solutions
  • Construct and present insightful models, analyses, and test readouts to influence marketing, product, and promotional strategies
  • Perform data mining, exploratory analysis, and A/B testing to support key business initiatives
  • Research and analyze data to find deep relations within data to be used in the ML/AI algorithms
  • Build and test audience targeting strategies and models, including relevancy, re-targeting, look-alike models, etc.

What's Needed - Basic Qualifications:

  • Pursuing a master's or doctoral degree in Computer Science /Analytics/Engineering or a related technical discipline
  • Strong foundation in statistical analysis, machine learning algorithms, and modeling techniques
  • Proficiency in Python programming language
  • Familiarity with SQL and experience in handling large datasets

What's Needed -Preferred Qualifications:

  • Enjoy working in teams and being highly communicative
  • Able to multitask and be flexible to new initiatives 

Chez Staples, « inclusion » est un mot d'action. Il représente ce que nous faisons pour garantir que tous les employés se sentent valorisés et soutenus afin de contribuer à leur plein potentiel. Lorsque nous opérons de manière inclusive, la diversité suit naturellement. C'est pourquoi nous travaillons dur pour favoriser une culture inclusive, car nous recherchons des employés ayant des perspectives uniques et variées et des domaines d'expertise divers. Le résultat est un meilleur environnement de travail et une réflexion innovante qui nous aide à dépasser les attentes de nos clients – grâce à la force des personnes derrière notre marque emblématique.

Staples est un employeur garantissant l'égalité des chances. Tous les candidats qualifiés seront pris en considération pour un emploi sans distinction de race, couleur, religion, âge, sexe, orientation sexuelle, identité de genre, origine nationale, statut de vétéran protégé, handicap ou toute autre base protégée par la loi fédérale, étatique ou locale.

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